Next Article in Journal
Contemporary Study on Deep Neural Networks to Diagnose COVID-19 Using Digital Posteroanterior X-ray Images
Next Article in Special Issue
Secure State Estimation of Cyber-Physical System under Cyber Attacks: Q-Learning vs. SARSA
Previous Article in Journal
Simultaneous Obstacles Avoidance and Robust Autonomous Landing of a UAV on a Moving Vehicle
Previous Article in Special Issue
An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Khan et al. An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things. Electronics 2022, 11, 2726

1
Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan
2
School of Information Engineering, Zhengzhou University, Science Avenue 100, Zhengzhou 450001, China
3
Electrical Engineering Department, Abasyn University, Peshawar 25000, Pakistan
4
Department of Electrical and Electronics Engineering Technology, University of Technology, Nowshera 24100, Pakistan
5
Systems Engineering Department, Military Technological College, Muscat 111, Oman
6
Center for Advanced Studies in Energy, University of Engineering and Technology, Peshawar 25000, Pakistan
7
Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Electronics 2022, 11(19), 3112; https://doi.org/10.3390/electronics11193112
Submission received: 21 September 2022 / Accepted: 23 September 2022 / Published: 29 September 2022

Text Correction

There was an error in the original publication [1]. In the current online version, the Acknowledgements were stated as “Not applicable” by mistake and should be adjusted in accordance with the funding information.
A correction has been made to the Acknowledgments:
Acknowledgments: The authors sincerely appreciate the support from the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R138), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Khan, M.A.; Khan, J.; Sehito, N.; Mahmood, K.; Ali, H.; Bari, I.; Arif, M.; Ghoniem, R.M. An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things. Electronics 2022, 11, 2726. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Khan, M.A.; Khan, J.; Sehito, N.; Mahmood, K.; Ali, H.; Bari, I.; Arif, M.; Ghoniem, R.M. Correction: Khan et al. An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things. Electronics 2022, 11, 2726. Electronics 2022, 11, 3112. https://doi.org/10.3390/electronics11193112

AMA Style

Khan MA, Khan J, Sehito N, Mahmood K, Ali H, Bari I, Arif M, Ghoniem RM. Correction: Khan et al. An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things. Electronics 2022, 11, 2726. Electronics. 2022; 11(19):3112. https://doi.org/10.3390/electronics11193112

Chicago/Turabian Style

Khan, Muhammad Amir, Jawad Khan, Nabila Sehito, Khalid Mahmood, Haider Ali, Inam Bari, Muhammad Arif, and Rania M. Ghoniem. 2022. "Correction: Khan et al. An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things. Electronics 2022, 11, 2726" Electronics 11, no. 19: 3112. https://doi.org/10.3390/electronics11193112

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop